Population assignment from genotype likelihoods for low‐coverage whole‐genome sequencing data

DeSaix, Matthew G.; Rodriguez, Marina D.; Ruegg, Kristen C.; Anderson, Eric C.

doi:10.1111/2041-210X.14286

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Population assignment from genotype likelihoods for low‐coverage whole‐genome sequencing data

2024
By DeSaix, Matthew G. ; Rodriguez, Marina D. ; Ruegg, Kristen C. ; ...
Source: Methods in Ecology and Evolution (2024)

[PDF-2.35 MB]

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Journal Title:

Methods in Ecology and Evolution
Personal Author:

DeSaix, Matthew G. ; Rodriguez, Marina D. ; Ruegg, Kristen C. ; Anderson, Eric C.

DeSaix, Matthew G. ; Rodriguez, Marina D. ; Ruegg, Kristen C. ; Anderson, Eric C. Less -
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; SWFSC (Southwest Fisheries Science Center)

NMFS (National Marine Fisheries Service) ; SWFSC (Southwest Fisheries Science Center) Less -
Description:

Low-coverage whole-genome sequencing (WGS) is increasingly used for the study of evolution and ecology in both model and non-model organisms; however, effective application of low-coverage WGS data requires the implementation of probabilistic frameworks to account for the uncertainties in genotype likelihoods.
Keywords:

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Ecological Modeling Ecology, Evolution, Behavior And Systematics
Source:

Methods in Ecology and Evolution (2024)
DOI:

https://doi.org/10.1111/2041-210X.14286
ISSN:

2041-210X;2041-210X;
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
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CC BY
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Submitted
Main Document Checksum:

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urn:sha256:17de2fada126ecc7e934c6b9b56098fc638c101affd05bc38c3c93bdae1919cf
Download URL:

https://repository.library.noaa.gov/view/noaa/56770/noaa_56770_DS1.pdf
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Population assignment from genotype likelihoods for low‐coverage whole‐genome sequencing data

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